Is Turbulence as Simple as Tossing a Coin?
Statistical Mechanics
2008-11-04 v1
Abstract
A large variety of problems in statistical physics use a Gaussian distribution as a starting point. For the problem of intermittency in fluid turbulence, the Gaussian approximation is not a useful beginning. We find that the Cramer's rate function in the theory of large deviations as used in a simple coin toss is a promising starting point for giving an account of intermittency. In addition, it offers another view of Jarzynski equality.
Cite
@article{arxiv.0811.0265,
title = {Is Turbulence as Simple as Tossing a Coin?},
author = {Jayanta Kumar Bhattacharjee and Sagar Chakraborty and Arnab Saha},
journal= {arXiv preprint arXiv:0811.0265},
year = {2008}
}